Full-Stack Engineer - Generalist (Contract, Palo Alto)

Moon Creative LabPalo Alto, CA
Onsite

About The Position

We are seeking a curiosity-driven Full-Stack Engineer to join our team. You'll own the development and testing of our software stack, from our web applications to our data-capture infrastructure, collaborating with our cross-disciplinary design and technical team to define feature priorities, design solutions that scale, and ship fast. What we need is execution with judgment: someone who can take a problem — not a pre-defined ticket — and ship it end-to-end. We're not looking for someone who executes a spec and moves on. We're looking for someone who is genuinely curious about how the things they build get used, and who improves their work in response to what they learn. This is an in-office role that starts part-time (24-28 hrs/week) at an hourly rate of $110–$160, with the expectation of growing into a full-time position as we scale.

Requirements

  • You have built and scaled cloud-native applications with production experience of modern frontend (e.g., React, TypeScript) and robust backend (e.g., Node.js, Python) stacks.
  • Comfort with containerization and CI/CD pipelines.
  • You're not interested in just closing tickets — you have opinions about how the product should work, spanning both software architecture and customer-facing experience.
  • You thrive in growth environments where shipping is about balancing fast iteration with high-quality engineering across opinionated infrastructure layers.
  • You’re interested in how people use the things you build, and you’re committed to improving and rethinking your work in response to user feedback.

Nice To Haves

  • Experience building systems from the ground up, where the first version didn't exist before you wrote it.
  • Curiosity about polymer science, 3D printing, and other parts of our production process.
  • Experience working at the interface of physical and digital worlds.
  • Allergic to slow software.

Responsibilities

  • Expanding the telemetry and data ingestion pipelines that bring raw data into our platform from our manufacturing processes for analysis.
  • Increasing the robustness and coverage of the end-to-end tests, CI, and reliability checks that cover a stack that spans many hardware modalities.
  • Building the frontend and backend interfaces that allow our internal and external users to interact with the system.
  • Working on the data models and interfaces that drive our systems from the web to the machine tool.
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